Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity
Using Semistructured Surveys to Improve Citizen Science Data for Monitoring Biodiversity
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DOI：
10.1093/biosci/biz010
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发表时间：
2019-03-01
期刊：
影响因子：
10.1
通讯作者：
Guralnick, Robert
中科院分区：
文献类型：
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作者：
Kelling, Steve;Johnston, Alison;Guralnick, Robert
生物多样性正在以前所未有的速度丧失，监测对于了解因果驱动因素和评估解决方案至关重要。大多数生物多样性监测数据是由志愿者通过公民科学项目收集的，往往缺乏关键信息，无法解释观察员在数据收集过程中不可避免地带来的偏见。我们认为，公民科学项目旨在支持生物多样性监测必须收集有关的观察过程以及物种发生的信息。我们使用eBird来说明这一点，eBird是一个全球公民科学项目，它收集有关鸟类发生的信息以及观察过程中的重要上下文信息，同时保持广泛的参与。我们的基本论点是，无论监测的是什么物种，当公民科学项目收集到一小部分关于参与者如何进行观察的基本信息时，所收集数据的科学价值将大大提高。
Biodiversity is being lost at an unprecedented rate, and monitoring is crucial for understanding the causal drivers and assessing solutions. Most biodiversity monitoring data are collected by volunteers through citizen science projects, and often crucial information is lacking to account for the inevitable biases that observers introduce during data collection. We contend that citizen science projects intended to support biodiversity monitoring must gather information about the observation process as well as species occurrence. We illustrate this using eBird, a global citizen science project that collects information on bird occurrences as well as vital contextual information on the observation process while maintaining broad participation. Our fundamental argument is that regardless of what species are being monitored, when citizen science projects collect a small set of basic information about how participants make their observations, the scientific value of the data collected will be dramatically improved.